Why Join PGP-AIML?

Dual Certificate & ePortfolio

Earn Dual Certificate from The University of Texas at Austin and Great Lakes.
Your certificate and ePortfolio can also be shared on social media channels to establish your
credibility in AI and ML.

Sample ePortfolio

Curriculum

The PGP-AIML curriculum has been designed by Great Lakes and UT Austin-McCombs with the learning content and assessments created by faculties from Great Lakes, UT Austin, IIT-Bombay and other practising data scientists and AI experts.

Handwritten digit recognition

Fake news detection

Network intrusion detection

Silhouette analysis

Predicting the churn

A campaign to sell personal loans

Identify potential customers for a personal loan product for a bank, allowing the
bank to design targeted marketing campaigns to increase conversion.

Banking

Predict the authenticity of a currency note

The project is about building a classiﬁcation model to predict the authenticity of a
bank note if it is counterfeit or genuine based on the characteristics of the image of the bank
note.

Medical

Predict the onset of Parkison's disease

Traditional diagnosis of onset of Parkinson’s disease is often difﬁcult, as
monitoring the onset requires repeated clinic visits by the patient. You will be building a Machine
Learning algorithm over a recording dataset to predict the onset of the disease.

eCommerce

Customer sentiments from Amazon reviews

Build a recommendation model that can determine and predict the sentiments of the
customer from text reviews on Amazon’s website.

Demand Prediction

Predict hourly and daily bikes rentals

Bike sharing services promise the convenience of bike usage without the need for
ownership. A user is typically able to rent a bike from a particular location and return it at
different locations. You will build a Neural Network which predicts the number of hourly and daily
bikes rented, based on the environmental and seasonal settings.

Image Classification

Identify entities images in images

Image recognition is the process of identifying and detecting an object or a feature
in a digital image or video. In this project, you will use the power of Convoluted Neural Network to
make the machine learn relevant features from sample images and automatically identify those
features in new images.

Image Classification

Face Recognition

Facial recognition is a biometric solution that measures unique characteristics about
one’s face. Given an image or a video capture of a scene with one or more faces, the project is
designed to use Convolutional Neural network to detect and classify each face as one of the persons
whose identity is already known or as an unknown face.

Image Classification

Handwritten digit recognition

Given a series of handwritten digits, interpret these images and classify them
appropriately to display actual numbers using neural networks.

Social Media

Fake news detenction

Fake news is increasingly becoming a threat to our society. It is typically generated
for increasing commercial interests—attract viewers and collect more advertising revenue. In this
project, you will build a classiﬁer model which can predict whether a piece of news is fake by using
sequential models in Natural Language Processing.

Fraud Detection

Network intrusion detection

Build a network intrusion detection system and improve the accuracy of your
prediction using a series of ensemble techniques.

Image Classification

Silhouette analysis

The purpose of the case study is to build a model which can classify a given
silhouette as one of three different types of vehicle, using a set of features extracted from the
silhouette.

Churn Analysys

Predicting the churn

Build a powerful machine learning model, which can help a telecom company to predict
and take action on the likely customers who can switch away from their services.

Hackathons

Participate in company sponsored hackathons and establish your expertise. Apply your new skills to solve real-world problems. Here are some of our recent hackathons

Hackathon: 02nd Feb 2019

HR Analytics

The problem statement is to build a machine learning model to classify salary range of different employees based on employer information.

12 Teams

Bangalore

Sponsored by

Hackathon: 19th Jan 2019

Medical Speciality

Build a Machine Learning model which can extract information from medical prescriptions and can identify keywords to identify the medical domain of the problem which the patient is suffering from.

19 Teams

Chennai

Hyderabad

Sponsored by

Hackathon: 08th Sep 2018

Ad-channel Marketing

The challenge is to build a machine learning algorithm based on 1 million click data over 4 days from an advertisement that predicts whether a user will download an app after clicking on the advertisement.

10 Teams

Bangalore

Sponsored by

Learn from the Best

Learn from leading academicians in the field of AI and ML and several experienced industry
practitioners from top organizations. An indicative list of AIML experts engaged with us
include:

Dr. Kumar Muthuraman

PHD (Stanford University)

Faculty Director, Center for Research and Analytics,The University of Texas at Austin

Interview preparation workshops

Personalised career mentorship

Get an expert career mentor personalised to your experience and industry,
who will help you navigate your path to career success.
Get guidance on choosing the right opportunities,
building a great CV and much more.

Organizations Participating in Recruitment Drives

Alumni Success Stories

Sai Venkateshwaran Srinivasan

Senior Technical Lead

Infosys

The peer learning aspect is something that you guys should
definitely be proud of. I should say that I have been able to connect with wonderful people,
both technically and personally, after enrolling in the course. We are learning and a the
same time teaching others newer concepts. I can definitely say that my connections with most
of my colleagues in this course will continue for a very long time. I am always an advocate
for the quote - when you teach you learn more about what you teach. Here my peers are both
teachers and students enriching each other’s technical expertise to a vast extent.

Lakshminarasimhan Santhanam

Director - Data Analytics and Automation

Graspinor

The course provides good balance of less theory and more practical application of different
techniques covered through sessions taken by renowned faculty. It balances regular and
online coursework amidst work schedules and enhanced by opportunities to engage with leading
faculty and outstanding peers.

Mondal Sudipta

Senior Data Analyst

ANZ

The capstone project gave me an opportunity to optimize and
automate the best practises used in the industry.

Siddhartha Murthy

Senior Advisory Consultant

IBM

The projects have been tailor made to get one started on the
real projects that one would work in companies.

Unique Assisted Learning Formats

In each format, students learn the same modules, take part in the same projects, and gain the same
skills employees need, in a systematic and structured manner while balancing their professionals
commitments

Contact Us

India's Most Exhaustive AI & ML Program

Frequently Asked Questions

Artificial Intelligence Program offered by The University of Texas at Austin is ranked No. 8 in US by US News Best Science School, 2018

The PGP-AIML curriculum has been designed by Great Lakes and UT Austin-McCombs with the learning content and assessments created by faculties from Great Lakes, UT Austin, IIT-Bombay and other practising data scientists and AI experts.
Upon completion, all successful participants get Dual Certificates from Great Lakes and The University of Texas at Austin.

The post-graduate program in Artificial Intelligence and Machine Learning is a hands-on program
designed for technology professionals. The eligibility criteria are as follows:

Possess a Bachelor's degree with a minimum of 50% aggregate marks or equivalent.

Are comfortable using a programming language and are familiar with college-level mathematics and statistics.

Online+Mentorship Mode : You can learn concepts online with recorded sessions, and clarify your doubts at the end of the
week with online personalized mentoring sessions with an industry expert.

Weekend Classroom Mode : You’ll learn concepts and theory in monthly weekend classes. You can revise what you’ve learnt in
the classroom with online learning resources such as videos, reading material. You will get
in-person guidance from the faculty for solving doubts, doing lab work, and completing projects.

Online+Mentorship Mode : You will get weekly assistance from expert industry practitioners, who will clarify your doubts,
and offer guidance regarding your projects.

Weekend Classroom Mode : The classroom faculty will be present to clear all your doubts. They will also guide you in your
lab sessions and for projects. All Great Learning faculty are highly experienced and technically
skilled, and will be eager to make you learn effectively.

You can find the details of the mentors in the program page. Suffice to say, the mentors are
industry practitioners with leading organizations and come with extensive experience in their
fields.

All required content are included in the program fee and available at any time during (and after
completion of) the program. You are welcome to purchase additional material for your own reference
on faculty recommendation.

We require that you have a technical background to get the most out of the program. The class will
comprise of seasoned professionals, often with years of technical experience, and we have designed
the program with this in mind. For those of you who are interested, and do not have a significant
technical background, we offer other programs. Please contact the admissions team for more
information.

We believe that learning is continuous and hence all learning material – lecture notes, online
content and supporting material – will be available through the online platform for 3 years after
completion of the program.

In this holistic and rigorous program, you will be evaluated continuously. All quizzes,
assignments, attendance and projects are used to evaluate and monitor your progress towards the
desired learning outcomes.

We accept corporate sponsorships and can assist you with the process. For more information, you
can write to us at aiml@greatlearning.in

As a participant in this program, our career support initiative GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job with following activities.

Access to curated jobs
Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll recommend the right jobs for you.

Personalised career mentorship
Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.

You are invited to apply using our online application form.
. Our admissions panel evaluates all
applications and if shortlisted, you will be required to attend an Admissions Screening Interview.

All the candidates will be analyzing a real world problem using a range of tools & techniques that
they have learned in class. The candidates will be also given access to online Labs which will
help them during the project. The duration of the project is 3-4 months.

Yes, once admitted, you will receive a programming refresher (online) on Python. We strongly
recommend that you complete these introductory online courses so that you are ready from day one
of the program.

The candidates need to bring their own laptops; the technology requirement shall be shared at the
time of enrolment.